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PHP Chatbot Wiki

Welcome to the comprehensive documentation for php-chatbot - a modern, framework-agnostic PHP package for integrating AI-powered chat functionality into web applications.

📚 Documentation Index

Getting Started

• Installation Guide - Complete installation instructions for all environments
• Quick Start Guide - Get up and running in minutes
• Configuration - Configuration options and environment setup

Core Features

• AI Models - Supported AI providers and model configuration
• Token & Cost Tracking - Monitor API usage, track costs, and optimize spending
• Conversation Memory - Store and retrieve conversation history across interactions
• Streaming Responses - Real-time response streaming for better user experience
• Security & Filtering - Message filtering, rate limiting, and security features
• API Reference - Complete API documentation

Integration Guides

• Framework Integration - Laravel, Symfony, and plain PHP integration
• Frontend Integration - JavaScript components, React, Vue, Angular examples

Advanced Topics

• Examples - Real-world examples and use cases
• Best Practices - Development and deployment best practices
• Troubleshooting - Common issues and solutions

Community

• Contributing - How to contribute to the project
• FAQ - Frequently asked questions

🚀 Quick Links

• Main Repository - Source code and issues
• Packagist - Composer package
• License - MIT License

🌐 Other Ecosystems

Looking for chatbot packages in other languages?

• npm-chatbot - Node.js/TypeScript implementation with the same API design
• go-chatbot - Go implementation for high-performance applications

All packages share similar APIs and design principles, making it easy to switch between ecosystems.

📋 Overview

php-chatbot provides:

• ✅ Framework Agnostic - Works with Laravel, Symfony, or plain PHP
• ✅ Multiple AI Providers - OpenAI, Anthropic, xAI, Google Gemini, Meta, Ollama
• ✅ Security First - Built-in filtering, validation, and abuse prevention
• ✅ Frontend Ready - Includes React, Vue, Angular components
• ✅ High Quality - 90%+ test coverage, static analysis, coding standards

🎯 Use Cases

• Customer support chatbots
• Interactive documentation
• Content assistance tools
• Educational applications
• Internal team assistants

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Need help? Check our Troubleshooting guide or open an issue.